Fraud detection on SWIFT without the need to configure any rule NetGuardians’ machine-learning fraud-mitigation software allows banks to monitor SWIFT messages to spot new and existing fraud types in ...

APAC banks vulnerable to fraud due to lack of investment Research suggests that banks in Asia are failing to invest in fraud mitigation – even though fraud continues to rise and many authorities are ...

How to beat fraud and be PSD2 compliant with NetGuardians NetGuardians’ state-of-the-art fraud mitigation solution not only accurately analyzes the risk of every bank transaction but also makes fraud ...

How to measure the value of fraud mitigation Banks need to take a wide view when assessing the true return on their investment in fraud-mitigation software, writes Sebastian Aldeco

The new MAS risk management guidelines and how machine learning can help The central bank of Singapore says a rules-based approach to cyber-risk management is no longer sufficient and that banks need ...

How to overcome overfitting in machine learning based fraud mitigation for banks AI fraud-mitigation solutions often focus on a few types of fraud and become incapable of spotting new ones – known as ...

Real-time fraud mitigation for Hong Kong’s virtual banks The new virtual banks about to set up shop in Hong Kong need machine-learning technology to protect them, their customers and the regulator ...

What to expect when implementing NetGuardians With pre-configured adaptors and software, NetGuardians’ fraud-mitigation software could not be easier to implement, allowing banks to prevent more fraud ...

Machine learning can stamp out internal banking fraud By analyzing the behavior of staff, customer and the transaction itself, banks can spot and stop not only known fraud types but also new frauds, ...

NetGuardians’ global take on bank fraud The final part of our series looking at regional fraud offers a global overview highlighting the differences – and similarities – in the threats that banks ...